qqwsad5

qqwsad5

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Awesome-FAS

Paper collection of about the face anti-spoofing

Stargazers:358Issues:0Issues:0

CLIP-ViL

[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

Language:PythonLicense:MITStargazers:395Issues:0Issues:0

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Language:Jupyter NotebookLicense:MITStargazers:1417Issues:0Issues:0

a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Language:PythonLicense:MITStargazers:2735Issues:0Issues:0

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookLicense:MITStargazers:24275Issues:0Issues:0

residual-attention-network

Residual Attention Network for Image Classification

Stargazers:549Issues:0Issues:0

MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Language:PythonLicense:MITStargazers:2010Issues:0Issues:0

mobilenetv3

mobilenetv3 with pytorch,provide pre-train model

Language:PythonLicense:MITStargazers:1616Issues:0Issues:0

Single_instruction_cycle_OpenMIPS

通过学习《自己动手写CPU》,将书中实现的兼容MIPS32指令集架构的处理器——OpenMIPS(五级流水线结构),简化成单指令周期实现的处理器

Language:VerilogStargazers:184Issues:0Issues:0