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05/03/2023
Bio-Inspired Simple Neural Network for Low-Light Image Restoration: A Minimalist Approach
In this study, we explore the potential of using a straightforward neura...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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03/20/2023
Tracker Meets Night: A Transformer Enhancer for UAV Tracking
Most previous progress in object tracking is realized in daytime scenes ...
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03/18/2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...
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03/09/2023
Out-of-distribution Detection with Implicit Outlier Transformation
Outlier exposure (OE) is powerful in out-of-distribution (OOD) detection...
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03/08/2023
SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking
Vision-based object tracking has boosted extensive autonomous applicatio...
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03/04/2023
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation
Weakly Supervised Semantic Segmentation (WSSS) with image-level labels h...
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03/01/2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
The GPT-3.5 models have demonstrated impressive performance in various N...
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11/26/2022
Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention
Although the manipulating of the unmanned aerial manipulator (UAM) has b...
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11/21/2022
PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Visual object tracking is an essential capability of intelligent robots....
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08/19/2022
Causal Intervention Improves Implicit Sentiment Analysis
Despite having achieved great success for sentiment analysis, existing n...
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08/14/2022
HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking
Low-light environments have posed a formidable challenge for robust unma...
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08/01/2022
Local Perception-Aware Transformer for Aerial Tracking
Transformer-based visual object tracking has been utilized extensively. ...
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06/11/2022
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
Through using only a well-trained classifier, model-inversion (MI) attac...
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03/20/2022
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Previous advances in object tracking mostly reported on favorable illumi...
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03/03/2022
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-re...
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08/24/2021
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones
Virtual try-on technology enables users to try various fashion items usi...
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07/31/2021
HiFT: Hierarchical Feature Transformer for Aerial Tracking
Most existing Siamese-based tracking methods execute the classification ...
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07/30/2021
DarkLighter: Light Up the Darkness for UAV Tracking
Recent years have witnessed the fast evolution and promising performance...
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06/16/2021
SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
Recently, the Siamese-based method has stood out from multitudinous trac...
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06/15/2021
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label
Unmanned aerial vehicle (UAV) based visual tracking has been confronted ...
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06/04/2021
ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
Prior correlation filter (CF)-based tracking methods for unmanned aerial...
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03/08/2021
Predictive Visual Tracking: A New Benchmark and Baseline Approach
As a crucial robotic perception capability, visual tracking has been int...
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01/21/2021
All-Day Object Tracking for Unmanned Aerial Vehicle
Visual object tracking, which is representing a major interest in image ...
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12/19/2020
Siamese Anchor Proposal Network for High-Speed Aerial Tracking
In the domain of visual tracking, most deep learning-based trackers high...
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12/10/2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Supervised learning under label noise has seen numerous advances recentl...
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12/08/2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
For multi-class classification under class-conditional label noise, we p...
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04/09/2018
A 5k-vertex Kernel for P_2-packing
The P_2-packing problem asks for whether a graph contains k vertex-disjo...
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03/09/2018
