visiontao's Stars
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
facebookresearch/segment-anything
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.
aimagelab/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
hehefan/Awesome-Dynamic-Point-Cloud-Analysis
gaopengcuhk/Unofficial-Pix2Seq
Unofficial implementation of Pix2SEQ
HuangQiang/P2HNNS
Point-to-Hyperplane NNS Beyond the Unit Hypersphere (SIGMOD 2021)
zkcys001/distracting_feature
This is a PyTorch implement of ''Abstract Reasoning with Distracting Features'' that appears in the NeurIPS 2019.
HuangQiang/aws_alsh
Sublinear Time NNS over Generalized Weighted Space (ICML 2019)
HuangQiang/RQALSH
Reverse Query-Aware LSH for Furthest Neighbor Search (TKDE 2017)
HuangQiang/QALSH_Mem
Query-Aware LSH for Approximate NNS (In-Memory Version of QALSH)
HuangQiang/lccs-lsh
LSH Scheme based on Longest Circular Co-Substring (SIGMOD 2020)
HuangQiang/QALSH
Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)
HuangQiang/H2_ALSH
Accurate and Fast ALSH for Maximum Inner Product Search (KDD 2018)
husheng12345/SRAN
Stratified Rule-Aware Network for Abstract Visual Reasoning, AAAI 2021
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
oskyhn/CNNs-Without-Borders
Official repository of CVPR 2020 paper "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"
hehefan/PointRNN-PyTorch
PointRNN, PointGRU and PointLSTM.
hehefan/PointRNN
TensorFlow implementation of PointRNN, PointGRU and PointLSTM.
WellyZhang/RAVEN
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing