zhangxun97

zhangxun97's Stars

• HUSTSYJ/DA_dahazing

  Domain Adaptation for Image Dehazing, CVPR2020

  Language:Python24840

• cddlyf/GCANet

  Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"

  Language:Python22548

• ahmdtaha/knowledge_evolution

  (CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

  Language:Python8315

• XPixelGroup/ClassSR

  (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

  Language:Python36242

• Xiaoqi-Zhao-DLUT/DANet-RGBD-Saliency

  (ECCV 2020) A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

  Language:Python705

• DeepMotionAIResearch/DenseASPP

  DenseASPP for Semantic Segmentation in Street Scenes

  Language:Python35070

• nnizhang/SMAC

  ReDWeb-S: a large-scale challenging dataset for RGB-D Salient Object Detection.

  Language:Python454

• JosephChenHub/DPANet

  DPANet : Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

  Language:Python3010

• Lucia-Ningning/Adaptive_Fusion_RGBD_Saliency_Detection

  code for "Adaptive Fusion for RGB-D Salient Object Detection"

  Language:Python5416

• jiwei0921/RGBD-SOD-datasets

  All those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.

  6310

• jiwei0921/DMRA

  Code for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection". [RGB-D Salient Object Detection]

  Language:Python10421

• qq523529576/CVPR_SSF-RGBD

  codes of SSF_RGBD

  Language:Python96

• DengPingFan/D3NetBenchmark

  Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks, IEEE TNNLS 2020

  Language:Python13118

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.6k1.2k

• JingZhang617/UCNet

  UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020

  Language:Python17825

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.4k4.1k

• nnizhang/S2MA

  source code of "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" (CVPR2020)

  Language:Python638

• JXingZhao/ContrastPrior

  The Code of Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(CVPR2019)

  Language:Jupyter Notebook518

• DUT-IIAU-OIP-Lab/CVPR2020-A2dele

  Language:Python405

• jiangyao-scu/JL-DCF-pytorch

  Code of JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection(CVPR2020)

  Language:Python6716

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k400

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4k707

• xiaolai-sqlai/mobilenetv3

  mobilenetv3 with pytorch，provide pre-train model

  Language:Python1.6k342

• hubert0527/COCO-GAN

  COCO-GAN: Generation by Parts via Conditional Coordinating (ICCV 2019 oral)

  Language:Python26829

• wenguanwang/DHF1K

  Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

  Language:MATLAB13828

• AlexHex7/Non-local_pytorch

  Implementation of Non-local Block.

  Language:Python1.6k276

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k611

• twtygqyy/pytorch-LapSRN

  Pytorch implementation for LapSRN (CVPR2017)

  Language:Python28179

• Delphi89/Hyperspectral-Images-Classification-in-Pytorch-with-Multiple-GPUs

  Hyperspectral Images Classification in Pytorch with multiple GPUs - Pavia University

  Language:Python115