====================================================================== Model: molmo-7B-O-0924 ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 338 363 93.1% Depth counter 49 65 75.4% Depth ambiguous 120 172 69.8% ------------------------------------------------------ TOTAL consistent 338 363 93.1% TOTAL counter 49 65 75.4% Accuracy Gap (Consistent - Counter): 17.7%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 16 / 65 ====================================================================== Model: molmo-7B-O-0924-data_scale_exp_80k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 291 363 80.2% Depth counter 37 65 56.9% Depth ambiguous 98 172 57.0% ------------------------------------------------------ TOTAL consistent 291 363 80.2% TOTAL counter 37 65 56.9% Accuracy Gap (Consistent - Counter): 23.2%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 28 / 65 ====================================================================== Model: molmo-7B-O-0924-data_scale_exp_400k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 325 363 89.5% Depth counter 37 65 56.9% Depth ambiguous 118 172 68.6% ------------------------------------------------------ TOTAL consistent 325 363 89.5% TOTAL counter 37 65 56.9% Accuracy Gap (Consistent - Counter): 32.6%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 28 / 65 ====================================================================== Model: molmo-7B-O-0924-data_scale_exp_800k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 322 363 88.7% Depth counter 46 65 70.8% Depth ambiguous 124 172 72.1% ------------------------------------------------------ TOTAL consistent 322 363 88.7% TOTAL counter 46 65 70.8% Accuracy Gap (Consistent - Counter): 17.9%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 19 / 65 ====================================================================== Model: molmo-7B-O-0924-data_scale_exp_2m ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 329 363 90.6% Depth counter 47 65 72.3% Depth ambiguous 148 172 86.0% ------------------------------------------------------ TOTAL consistent 329 363 90.6% TOTAL counter 47 65 72.3% Accuracy Gap (Consistent - Counter): 18.3%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 18 / 65 ====================================================================== Model: NVILA-Lite-2B ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 270 363 74.4% Depth counter 26 65 40.0% Depth ambiguous 119 172 69.2% ------------------------------------------------------ TOTAL consistent 270 363 74.4% TOTAL counter 26 65 40.0% Accuracy Gap (Consistent - Counter): 34.4%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 39 / 65 ====================================================================== Model: NVILA-Lite-2B-data-scale-exp-80k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 260 363 71.6% Depth counter 33 65 50.8% Depth ambiguous 104 172 60.5% ------------------------------------------------------ TOTAL consistent 260 363 71.6% TOTAL counter 33 65 50.8% Accuracy Gap (Consistent - Counter): 20.9%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 32 / 65 ====================================================================== Model: NVILA-Lite-2B-data-scale-exp-400k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 295 363 81.3% Depth counter 38 65 58.5% Depth ambiguous 113 172 65.7% ------------------------------------------------------ TOTAL consistent 295 363 81.3% TOTAL counter 38 65 58.5% Accuracy Gap (Consistent - Counter): 22.8%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 27 / 65 ====================================================================== Model: NVILA-Lite-2B-data-scale-exp-800k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 307 363 84.6% Depth counter 44 65 67.7% Depth ambiguous 118 172 68.6% ------------------------------------------------------ TOTAL consistent 307 363 84.6% TOTAL counter 44 65 67.7% Accuracy Gap (Consistent - Counter): 16.9%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 21 / 65 ====================================================================== Model: NVILA-Lite-2B-data-scale-exp-2m ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 353 363 97.2% Depth counter 61 65 93.8% Depth ambiguous 149 172 86.6% ------------------------------------------------------ TOTAL consistent 353 363 97.2% TOTAL counter 61 65 93.8% Accuracy Gap (Consistent - Counter): 3.4%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 4 / 65 ====================================================================== Model: RoboRefer-2B-SFT ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 359 363 98.9% Depth counter 62 65 95.4% Depth ambiguous 153 172 89.0% ------------------------------------------------------ TOTAL consistent 359 363 98.9% TOTAL counter 62 65 95.4% Accuracy Gap (Consistent - Counter): 3.5%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 3 / 65 ====================================================================== Model: Qwen2.5-VL-3B-Instruct ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 274 363 75.5% Depth counter 36 65 55.4% Depth ambiguous 112 172 65.1% ------------------------------------------------------ TOTAL consistent 274 363 75.5% TOTAL counter 36 65 55.4% Accuracy Gap (Consistent - Counter): 20.1%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 29 / 65 ====================================================================== Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_80k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 253 363 69.7% Depth counter 39 65 60.0% Depth ambiguous 96 172 55.8% ------------------------------------------------------ TOTAL consistent 253 363 69.7% TOTAL counter 39 65 60.0% Accuracy Gap (Consistent - Counter): 9.7%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 26 / 65 ====================================================================== Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_400k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 239 363 65.8% Depth counter 38 65 58.5% Depth ambiguous 95 172 55.2% ------------------------------------------------------ TOTAL consistent 239 363 65.8% TOTAL counter 38 65 58.5% Accuracy Gap (Consistent - Counter): 7.4%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 27 / 65 ====================================================================== Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_800k ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 222 363 61.2% Depth counter 38 65 58.5% Depth ambiguous 92 172 53.5% ------------------------------------------------------ TOTAL consistent 222 363 61.2% TOTAL counter 38 65 58.5% Accuracy Gap (Consistent - Counter): 2.7%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 27 / 65 ====================================================================== Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_2m ====================================================================== Category Type Correct Total Accuracy ------------------------------------------------------ Depth consistent 225 363 62.0% Depth counter 35 65 53.8% Depth ambiguous 91 172 52.9% ------------------------------------------------------ TOTAL consistent 225 363 62.0% TOTAL counter 35 65 53.8% Accuracy Gap (Consistent - Counter): 8.1%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 30 / 65 ============================================================================== MODEL COMPARISON (CV-Bench-3D depth) ============================================================================== Model Consistent Counter Gap ------------------------------------------------------------------------------ molmo-7B-O-0924 93.1% 75.4% +17.7%p molmo-7B-O-0924-data_scale_exp_80k 80.2% 56.9% +23.2%p molmo-7B-O-0924-data_scale_exp_400k 89.5% 56.9% +32.6%p molmo-7B-O-0924-data_scale_exp_800k 88.7% 70.8% +17.9%p molmo-7B-O-0924-data_scale_exp_2m 90.6% 72.3% +18.3%p ------------------------------------------------------------------------------ NVILA-Lite-2B 74.4% 40.0% +34.4%p NVILA-Lite-2B-data-scale-exp-80k 71.6% 50.8% +20.9%p NVILA-Lite-2B-data-scale-exp-400k 81.3% 58.5% +22.8%p NVILA-Lite-2B-data-scale-exp-800k 84.6% 67.7% +16.9%p NVILA-Lite-2B-data-scale-exp-2m 97.2% 93.8% +3.4%p RoboRefer-2B-SFT 98.9% 95.4% +3.5%p ------------------------------------------------------------------------------ Qwen2.5-VL-3B-Instruct 75.5% 55.4% +20.1%p Qwen2.5-VL-3B-Instruct-data_scale_exp_80k 69.7% 60.0% +9.7%p Qwen2.5-VL-3B-Instruct-data_scale_exp_400k 65.8% 58.5% +7.4%p Qwen2.5-VL-3B-Instruct-data_scale_exp_800k 61.2% 58.5% +2.7%p Qwen2.5-VL-3B-Instruct-data_scale_exp_2m 62.0% 53.8% +8.1%p