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Starred repositories
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Curated lis 8000 t of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
Sample projects for TensorRT in C++
Create. Use. Share. ChatGPT prompts
A curated list of awesome neural radiance fields papers
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
📑 A list of awesome PatchMatch multi-view stereo papers
Convert Caffe models to PyTorch
Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection" (AAAI 2022 Oral)
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The state-of-the-art image restoration model without nonlinear activation functions.
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RG…
🛠 A lite C++ AI toolkit: 100+🎉 models with MNN, ORT and TRT.
AI education materials for Chinese students, teachers and IT professionals.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
wenguanwang / ConsistentViSal
Forked from odiofan/videosalConsistent Video Saliency using Local Gradient Flow Optimization and Global Refinement (TIP15)
Visal dataset in Consistent Video Saliency using Local Gradient Flow Optimization and Global Refinement (TIP15)
Deep Visual Attention Prediction (TIP18)
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
Dataset for 'Video Co-saliency Guided Co-segmentation' (T-CSVT18)
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Updated Jan 26, 2019
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.