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Zhihao Gu's Projects

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Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper.

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Adaptive Convolutions with Per-pixel Dynamic Filter Atom

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Official PyTorch implementation of ACTION-Net: Multipath Excitation for Action Recognition (CVPR'21)

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Official Implement of "ADBench: Anomaly Detection Benchmark".

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Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

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An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"

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Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

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yolov3 with mobilenet v2 and ASFF

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Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

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Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

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[ACMMM 2020] Code release for "Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion"

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Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

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[CVPR2021] The source code for our paper 《Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning》.

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[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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Boosting Few-Shot Visual Learning with Self-Supervision

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This is the official implementaion of paper "C2DFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection".

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PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

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Central Difference Convolutional Networks

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This is a PyTorch implementation of "Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection" accepted by ACM MM 2021 (poster).

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[TPAMI 2022, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"

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