lpd's repositories
lpdone.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-cbir-papers
📝Awesome and classical image retrieval papers
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Awesome-Temporal-Language-Grounding-in-Videos
A curated list of grounding natural language in video and related area. :-)
BTH
This repo holds the Pytorch codes and models for the BTH framework presented on CVPR 2021
CLIP4CMR
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval
deep-cross-modal-hashing
Deep learning cross modal hashing in PyTorch
DeepHash-pytorch
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
DeepLearning-500-questions
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
dual_encoding
[CVPR2019] Dual Encoding for Zero-Example Video Retrieval
GPQ
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Hadamard-Matrix-for-hashing
Hamamard matrix can generate hash centers for image and video hashing
MIGCN
Official implementation for Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
moment_detr
[NeurIPS 2021] Moment-DETR code and QVHighlights dataset
ndvr-dml
Implementation of near duplicate video retrieval based on Deep Metric Learning.
nsg
Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
popsift
PopSift is an implementation of the SIFT algorithm in CUDA.
PyRetri
Open source deep learning based image retrieval toolbox based on PyTorch🔥
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
sRLH
sub-region localized hashing for fine-grained image retrieval
YOLOX
YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.