sanqingqu

genda

[ICCV 2023] One-Shot Generative Domain Adaptation

SAN

Open-vocabulary Semantic Segmentation

CAT-Seg

Official Implementation of "CAT-Seg🐱: Cost Aggregation for Open-Vocabulary Semantic Segmentation"

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

ZOC

This repository is the official implementation of the aaai2022 paper "Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP"

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

PersFormer_3DLane

[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection

bev_lane_det

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

CaFo

[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

OV-DETR

[Under preparation] Code repo for "Open-Vocabulary DETR with Conditional Matching" (ECCV 2022)

UniAD

[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

FreeSeg

segment-anything

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.

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

GLC

[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"

website

PromptCAL

Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery (CVPR'23)

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

udlbook

Understanding Deep Learning - Simon J.D. Prince

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

theme-academic-cv

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

OnDA

Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.

deep_feature_reweighting

ACVC

Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"

CSD

Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12815)

FACT

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty