Stars
DEIM: DETR with Improved Matching for Fast Convergence
[ICLR 2025] Automated Design of Agentic Systems
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone
PyTorch code and models for the DINOv2 self-supervised learning method.
Hackable and optimized Transformers building blocks, supporting a composable construction.
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”
PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Implementations of few-shot object detection benchmarks
微信小程序组件 / API / 云开发示例
[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
This is a resouce list for low light image enhancement
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
“SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.
Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark