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09/21/2023
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection
Lidars and cameras are critical sensors that provide complementary infor...
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07/05/2023
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation
While originally designed for image generation, diffusion models have re...
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06/07/2023
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory
Domain adaptive object detection aims to leverage the knowledge learned ...
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10/22/2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
The goal of fine-grained few-shot learning is to recognize sub-categorie...
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10/14/2022
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation
Source-Free Domain Adaptation (SFDA) aims to solve the domain adaptation...
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07/21/2022
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition
With an increasing number of elders living alone, care-giving from a dis...
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07/05/2022
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
Due to the extreme complexity of scale and shape as well as the uncertai...
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05/18/2022
A lightweight multi-scale context network for salient object detection in optical remote sensing images
Due to the more dramatic multi-scale variations and more complicated for...
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08/21/2021
Robust Ensembling Network for Unsupervised Domain Adaptation
Recently, in order to address the unsupervised domain adaptation (UDA) p...
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08/21/2021
Multi-scale Edge-based U-shape Network for Salient Object Detection
Deep-learning based salient object detection methods achieve great impro...
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08/08/2021
MPI: Multi-receptive and Parallel Integration for Salient Object Detection
The semantic representation of deep features is essential for image cont...
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03/21/2021
Learning Calibrated-Guidance for Object Detection in Aerial Images
Recently, the study on object detection in aerial images has made tremen...
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03/21/2019
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition
Deep metric learning is essential for visual recognition. The widely use...
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05/20/2018