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adaptive-anti-aliasing

[BMVC2020 Best Paper Award] Official Implementation for Delving deeper into anti-aliasing in convnets

afa

[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

ccam

[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dinov2

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

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

fcanet

FcaNet: Frequency Channel Attention Networks

helloqtnetwork

Show the use of Qt network module. 展示Qt网络模块的使用

mambair

A simple baseline for image restoration with state-space model.

moca_release

Official Implementation of MoCA

parc-net

[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"

patchcore-inspection

patchcore_anomaly_detection

Unofficial implementation of PatchCore anomaly detection

pvt

Official implementation of PVT series

regad

[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

revisiting-reverse-distillation

(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection

rgad

sa-patchcore

sdae

segment-any-anomaly

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

wj_rknn_model_zoo

zh