SMIL (SCUT-AILab)

SMIL

SCUT-AILab

Geek Repo

Location:Guangdong, China

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SMIL's repositories

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Next-Generation-AI-awesome

An up-to-date list of progress made in next-generation AI.

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ActiveCamera

Official implementation of NeurIPS 2022 paper "Learning Active Camera for Multi-Object Navigation"

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HRNet-Semantic-Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

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DENet

This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).

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DTQ

PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)

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AFA

PyTorch implementation for "Towards Effective Deep Transfer via Attentive Feature Alignment" (NN2021)

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RSPNet

Official Pytorch implementation for AAAI2021 paper (RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning)

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GDFQ

official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)

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DRN-1

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

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CNAS

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

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DRN

Dense Regression Network for Video Grounding (CVPR2020)

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SGE-LA

Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification (IJCAI-2020)

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DRAW

This repo provides the implemetation of the paper How to train your agent to read and write?

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regnet

Official PyTorch implementation of the TIP paper "Generating Visually Aligned Sound from Videos" and the corresponding Visually Aligned Sound (VAS) dataset.

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HPGM

Pytorch implementation for “Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only”

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CMRAN

Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization, ACM MM 2020

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DCP

Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”

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LaBERT

A length-controllable and non-autoregressive image captioning model.

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L-GCN

PyTorch implementation of L-GCN [https://arxiv.org/abs/2008.09105]

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PGCN

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

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PPN

This project provides the source code of the paper "Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (IEEE TKDE 2020)".

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CoUDA

This project provides the source code for “Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (IEEE TIP 2020)”.

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