PangJian123

PangJian123's Stars

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.4k50225563

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.4k31269279

• CSAILVision/places365

  The Places365-CNNs for Scene Classification

  Language:Python2k5795536

• Li-Chongyi/Zero-DCE

  Zero-DCE code and model

  Language:HTML8491765196

• Zeleni9/pytorch-wgan

  Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

  Language:Python768530146

• cs-chan/Exclusively-Dark-Image-Dataset

  Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

  Language:MATLAB5561124104

• IDKiro/DehazeFormer

  [IEEE TIP] Vision Transformers for Single Image Dehazing

  Language:Python42943049

• princeton-computational-imaging/SeeingThroughFog

  Language:Python318117561

• cuiziteng/ICCV_MAET

  🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

  Language:Python16403216

• liruoteng/HeavyRainRemoval

  An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)

  Language:Python16331837

• fingerk28/Two-stage-Knowledge-For-Multiple-Adverse-Weather-Removal

  [CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

  Language:Python14841916

• jiaqixuac/MAP-Net

  [CVPR'23] Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

  Language:Python13011111

• KarelZhang/RUAS

  [CVPR 2021] This is the official code for the paper "Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement"

  Language:Python1203931

• vpulab/Semantic-Aware-Scene-Recognition

  Code repository for paper https://www.sciencedirect.com/science/article/pii/S0031320320300613 @ Pattern Recognition 2020

  Language:Python10662917

• zhuyr97/WGWS-Net

  Language:Python861165

• AmeryXiong/MixDehazeNet

  Code for "MixDehazeNet: Mix Structure block for image dehazing network"

  Language:Python8521611

• Li-Chongyi/UHDFour_code

  Language:Python59166

• Gatedip/GDIP-Yolo

  Gated Differentiable Image Processing (GDIP) for Object Detection in Adverse Conditions | Accepted at ICRA 2023

  Language:Python553155

• mousecpn/Boosting-R-CNN

  [Neurocomputing 2023] The official implementation of Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection

  Language:Python361201

• khurramHashmi/FeatEnHancer

  [ICCV 2023] FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

  Language:Python313151

• mousecpn/DMC-Domain-Generalization-for-Underwater-Object-Detection

  [Neurocomputing 2023] An official implementation of Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning

  Language:Python31150

• dishank-b/MSCNN-Dehazing-Tensorflow

  This is Tensorflow implementation of Single Image Dehazing via Multi-Scale Convolutional Neural Networks https://sites.google.com/site/renwenqi888/research/dehazing/mscnndehazing

  Language:Python281311

• raven-dehaze-work/MSCNN_Keras

  "Single Image Dehazing via Multi-scale Convolutional Neural Networks" Implemented by Keras

  Language:Python24129

• zsyasd/Excavating-RoI-Attention-for-Underwater-Object-Detection

  The code of RoIAttn R-CNN

  Language:Python23260

• Yb1t/ExDark2Yolo

  Convert ExDark annotated format data to YOLO format data. / 将ExDark标注格式的数据转换成YOLO格式的数据

  Language:Python21122

• fyxnl/KA_Net

  Here is the code for the TPAMI paper: Advancing Real-World Image Dehazing:Perspective, Modules, and Training.

  Language:Python19220

• wenxinss/DR-YOLO

  Language:Python15281

• hocking-cloud/SwinTD_Net

  Code and Model of the SwinTD_Net for Single Image Dehazing

  Language:Python10100

• mousecpn/FERNet-Pytorch

  An unofficial implementation of Dual Refinement Underwater Object Detection Network

  Language:Python10282

• yuexiemail/NightDrone-Dataset

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