GenClaw: Code-Driven Agentic Image Generation

Includes the VideoCount dataset and CountVid code for the paper Open-World Object Counting in Videos.

Awesome Incremental Learning

[NeurIPS 2025] Efficient Reasoning Vision Language Models

This repository collects and organises state‑of‑the‑art papers on spatial reasoning for Multimodal Vision–Language Models (MVLMs).

Awesome Spatial Intelligence (Personal Use)

[ICLR 2026] Official implementation of "Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs"

[NeurIPS 2025 Spotlight] The official repository of "ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection".

[CVPR2026] Detect Anything via Next Point Prediction

本人的科研经验

[TMLR 2025🔥] A survey for the autoregressive models in vision.

[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).

🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

The Hugging Face course on Transformers

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

[NeurIPS 2025] YOLOv12: Attention-Centric Real-Time Object Detectors

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

[CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"

The official implementation of [CVPR 2025] "5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks".

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>

YOLO-UniOW: Efficient Universal Open-World Object Detection

Data distillation benchmark

Official github repo for SafeDialBench, a comprehensive multi-turn dialogue benchmark to evaluate LLMs' safety.

An awesome paper list of Semi-Supervised Learning under realistic settings.

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Label Studio is a multi-type data labeling and annotation tool with standardized output format

cliptrase