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06/12/2023
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Aerial Image Segmentation is a top-down perspective semantic segmentatio...
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12/12/2022
Contextual Explainable Video Representation: Human Perception-based Understanding
Video understanding is a growing field and a subject of intense research...
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12/09/2022
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection
Video anomaly detection (VAD) – commonly formulated as a multiple-instan...
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11/28/2022
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
Video paragraph captioning aims to generate a multi-sentence description...
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10/12/2022
AISFormer: Amodal Instance Segmentation with Transformer
Amodal Instance Segmentation (AIS) aims to segment the region of both vi...
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10/05/2022
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
Temporal action proposal generation (TAPG) is a challenging task, which ...
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06/26/2022
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
In this paper, we leverage the human perceiving process, that involves v...
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03/16/2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Deep learning methods have been successful in solving tasks in machine l...
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03/16/2022
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
Temporal action proposal generation (TAPG) aims to estimate temporal int...
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10/21/2021
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
Humans typically perceive the establishment of an action in a video thro...
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08/25/2021
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Deep reinforcement learning augments the reinforcement learning framewor...
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07/17/2021
Agent-Environment Network for Temporal Action Proposal Generation
Temporal action proposal generation is an essential and challenging task...
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03/16/2021
Invertible Residual Network with Regularization for Effective Medical Image Segmentation
Deep Convolutional Neural Networks (CNNs) i.e. Residual Networks (ResNet...
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12/04/2020
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Medical image segmentation has played an important role in medical analy...
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12/03/2020