xiaomoguhzz/DeCLIP-TPAMI

DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception

This is the primary asset mirror for the TPAMI release of DeCLIP (CVPR 2025 accepted). It hosts training checkpoints, pretrained backbones, a full source-code mirror, and analysis scripts.

• 📄 Paper: DeCLIP (CVPR 2025)
• 💻 Code (canonical): github.com/xiaomoguhz/DeCLIP_private — training/evaluation scripts and setup instructions live there
• 🤗 Sibling HF repos: see Repository Family below

What's in this repo

The directory layout on HuggingFace mirrors the code repository one-to-one:

DeCLIP-TPAMI/
├── src/                # source code mirror: training/, open_clip/, diffusion_model/, segment_anything/
├── scripts/            # training and evaluation scripts
├── tools/              # text embeddings, KNN, segmentation utilities
├── metadata/           # precomputed text embeddings (.npy)
├── third_party/        # ODISE, Mask2Former, TinyCLIP
├── downstream/         # CLIPSelf (F-ViT), ProxyCLIP_TPAMI, SegEarth-OV, mmsegmentation
├── analysis/           # visualization, failure cases, robustness, decoupling analysis, ...
├── deployment/         # TensorRT inference and quantization
├── experimental/       # CSAUpsampler, SimFeatUp, environment setup
├── demo_images/
│
├── checkpoints/        # Pretrained EVA-CLIP backbones
│   ├── EVA02_CLIP_B_psz16_s8B.pt       (300 MB)
│   └── EVA02_CLIP_L_336_psz14_s6B.pt   (856 MB)
│
└── logs/               # All training runs with trained DeCLIP / DeCLIP+ / Integrated / Ablation checkpoints
    ├── DeCLIP_EVA-B_DINOv2-B_560/checkpoints/
    ├── declip_plus_seg/epoch_6.pt
    ├── Integrated_EVA-B_DINOv2-B_560_2loss/checkpoints/
    ├── Integrated_EVA-B_DINOv2-B_560_3loss/checkpoints/
    ├── Integrated_EVA-L_DINOv2-L_336/checkpoints/
    ├── Ablation_JEPA-GSC_EVA-B_DINOv2-B_csa_560/checkpoints/
    ├── Ablation_JEPA-GSC_EVA-L_DINOv2-B_csa_336/checkpoints/
    ├── Ablation_SAM-GSC_EVA-B_DINOv2-B_csa_560/checkpoints/
    └── Ablation_SAM-GSC_EVA-L_DINOv2-B_csa_560/checkpoints/

Usage

# Download the entire tree (~65 GB)
huggingface-cli download xiaomoguhzz/DeCLIP-TPAMI \
    --repo-type dataset --local-dir ./DeCLIP_TPAMI

# Download only one training run
huggingface-cli download xiaomoguhzz/DeCLIP-TPAMI --repo-type dataset \
    --include "logs/DeCLIP_EVA-B_DINOv2-B_560/checkpoints/*" \
    --local-dir ./DeCLIP_TPAMI

# Download only the pretrained EVA-CLIP backbones
huggingface-cli download xiaomoguhzz/DeCLIP-TPAMI --repo-type dataset \
    --include "checkpoints/EVA02*" \
    --local-dir ./DeCLIP_TPAMI

For full training and evaluation instructions, please refer to the code repository README.

Repository Family

This repo is the canonical release, but three earlier sibling repos preserve separable concerns from the project timeline. Together they form the complete TPAMI release:

HF Repo	Type	Role	Created
xiaomoguhzz/DeCLIP-TPAMI (this repo)	dataset	Source code mirror, training logs, analysis scripts	2026-04
xiaomoguhzz/DeCLIP-TPAMI-data-2026-01	dataset	COCO / LVIS / RefCOCO annotation bundles	2026-01
xiaomoguhzz/DeCLIP-TPAMI-weights-2026-01	model	F-ViT OV-COCO/LVIS detectors + SAM / TinyCLIP / CLIPSelf baselines	2026-01
xiaomoguhzz/DeCLIP-TPAMI-extras-2026-02	dataset	Archived analysis outputs and visualization packs	2026-02

Ten legacy per-run model repos from mid-2025 are also retained for provenance — see the code repository README for the full list. They do not correspond to the numbers reported in the paper; always use DeCLIP-TPAMI for the canonical release.

Acknowledgement

DeCLIP builds upon CLIPSelf, ClearCLIP, CAT-Seg, EVA-CLIP, and OpenCLIP.

Citation

@article{declip2025,
  title   = {DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception},
  author  = {...},
  journal = {IEEE TPAMI (accepted)},
  year    = {2025}
}