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Depth Anything V2
Paper • 2406.09414 • Published • 103 -
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Paper • 2406.09415 • Published • 51 -
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion
Paper • 2406.04338 • Published • 39 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 122
Collections
Discover the best community collections!
Collections including paper arxiv:2408.00714
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RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 88 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
Progressive Multimodal Reasoning via Active Retrieval
Paper • 2412.14835 • Published • 73 -
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Paper • 2501.09732 • Published • 72
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ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
WebArena: A Realistic Web Environment for Building Autonomous Agents
Paper • 2307.13854 • Published • 27 -
Mind2Web: Towards a Generalist Agent for the Web
Paper • 2306.06070 • Published • 21 -
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
Paper • 2410.13232 • Published • 44
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MIO: A Foundation Model on Multimodal Tokens
Paper • 2409.17692 • Published • 53 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15 -
Going deeper with Image Transformers
Paper • 2103.17239 • Published -
Training data-efficient image transformers & distillation through attention
Paper • 2012.12877 • Published • 2
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Segment Anything
Paper • 2304.02643 • Published • 6 -
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes
Paper • 2410.24139 • Published -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 122 -
Hierarchical Open-vocabulary Universal Image Segmentation
Paper • 2307.00764 • Published
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What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs
Paper • 2409.08775 • Published -
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
Paper • 2409.08250 • Published • 1 -
Synthetic continued pretraining
Paper • 2409.07431 • Published • 5 -
WonderWorld: Interactive 3D Scene Generation from a Single Image
Paper • 2406.09394 • Published • 3
-
Depth Anything V2
Paper • 2406.09414 • Published • 103 -
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Paper • 2406.09415 • Published • 51 -
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion
Paper • 2406.04338 • Published • 39 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 122
-
Segment Anything
Paper • 2304.02643 • Published • 6 -
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes
Paper • 2410.24139 • Published -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 122 -
Hierarchical Open-vocabulary Universal Image Segmentation
Paper • 2307.00764 • Published
-
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 88 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
Progressive Multimodal Reasoning via Active Retrieval
Paper • 2412.14835 • Published • 73 -
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Paper • 2501.09732 • Published • 72
-
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
WebArena: A Realistic Web Environment for Building Autonomous Agents
Paper • 2307.13854 • Published • 27 -
Mind2Web: Towards a Generalist Agent for the Web
Paper • 2306.06070 • Published • 21 -
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
Paper • 2410.13232 • Published • 44
-
MIO: A Foundation Model on Multimodal Tokens
Paper • 2409.17692 • Published • 53 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15 -
Going deeper with Image Transformers
Paper • 2103.17239 • Published -
Training data-efficient image transformers & distillation through attention
Paper • 2012.12877 • Published • 2
-
What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs
Paper • 2409.08775 • Published -
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
Paper • 2409.08250 • Published • 1 -
Synthetic continued pretraining
Paper • 2409.07431 • Published • 5 -
WonderWorld: Interactive 3D Scene Generation from a Single Image
Paper • 2406.09394 • Published • 3