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Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
[ECCV 2024] Official Implementation and Dataset Release for "A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization"
A Dataset and Benchmark for Multi-Sensor Anomaly Detection
This is the Reproducible Realisation of the AAAI25 paper "Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection".
[CVPR 2024] - Official code for the paper "Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation"
a collection of AWESOME things about Optimal Transport in Deep Learning
Code release for ActionFormer (ECCV 2022)
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
A curated paper list of awesome skeleton-based action recognition.
Official Implementation for "Robust Action Segmentation from Timestamp Supervision" - BMVC 2022
Official Repo for CVPR 2022 Paper "Set-Supervised Action Learning in Procedural Videos via Pairwise Order Consistency"
Code for the paper Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
Official repo for BMVC2021 paper ASFormer: Transformer for action segmentation
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)
Source code for the following paper: https://arxiv.org/pdf/2006.15802.pdf
Brain decoding/encoding with neural network language models
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行