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深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction
Unified Image and Video Saliency Modeling (ECCV 2020)
这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书
A paper list of some recent Mamba-based CV works.
teowu / DOVER-Dev
Forked from VQAssessment/DOVERThis is a [forked version] for author's debugging. Please jump to https://github.com/QualityAssessment/DOVER for stable version to use.
[ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation
The first challenge on short-form video quality assessment
Pytorch implementation of RetinaNet object detection.
③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.
JigsawNet: Shredded Images Reassembly Using Convolutional Neural Network and Loop-based Composition
Collection of AWESOME vision-language models for vision tasks
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
VMamba: Visual State Space Models,code is based on mamba
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory wh…
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"
3D ResNets for Action Recognition (CVPR 2018)
收录及复现的高光谱遥感图像分类模型