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06/13/2023
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
The latest breakthroughs in large vision-language models, such as Bard a...
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05/11/2023
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Fine-grained visual classification (FGVC) is a challenging computer visi...
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04/30/2023
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
Most previous co-salient object detection works mainly focus on extracti...
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04/17/2023
RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model
The performance of perception systems developed for autonomous driving v...
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04/13/2023
Remote Sensing Change Detection With Transformers Trained from Scratch
Current transformer-based change detection (CD) approaches either employ...
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04/04/2023
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification
In this work, we propose a few-shot colorectal tissue image generation m...
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04/03/2023
Video Instance Segmentation in an Open-World
Existing video instance segmentation (VIS) approaches generally follow a...
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11/22/2022
Person Image Synthesis via Denoising Diffusion Model
The pose-guided person image generation task requires synthesizing photo...
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10/07/2022
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search
Person search is a challenging problem with various real-world applicati...
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09/13/2022
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
Existing deep learning-based 3D object detectors typically rely on the a...
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09/02/2022
Transformers in Remote Sensing: A Survey
Deep learning-based algorithms have seen a massive popularity in differe...
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08/14/2022
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility
One of the key factors behind the recent success in visual tracking is t...
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08/10/2022
Multi-scale Feature Aggregation for Crowd Counting
Convolutional Neural Network (CNN) based crowd counting methods have ach...
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07/20/2022
On the Robustness of 3D Object Detectors
In recent years, significant progress has been achieved for 3D object de...
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06/21/2022
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
In the pursuit of achieving ever-increasing accuracy, large and complex ...
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04/07/2022
PSTR: End-to-End One-Step Person Search With Transformers
We propose a novel one-step transformer-based person search framework, P...
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03/24/2022
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer
State-of-the-art transformer-based video instance segmentation (VIS) app...
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12/06/2021
DoodleFormer: Creative Sketch Drawing with Transformers
Creative sketching or doodling is an expressive activity, where imaginat...
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07/12/2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
The need to address the scarcity of task-specific annotated data has res...
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04/08/2021
Handwriting Transformers
We propose a novel transformer-based styled handwritten text image gener...
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07/29/2020
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Single-stage instance segmentation approaches have recently gained popul...
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01/25/2020
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection
Detecting pedestrians, especially under heavy occlusions, is a challengi...
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12/14/2019
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
The main requisite for fine-grained recognition task is to focus on subt...
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12/13/2019
Towards Partial Supervision for Generic Object Counting in Natural Scenes
Generic object counting in natural scenes is a challenging computer visi...
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08/22/2019
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
Temporal action localization is a challenging computer vision problem wi...
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03/06/2019
Object Counting and Instance Segmentation with Image-level Supervision
Common object counting in a natural scene is a challenging problem in co...
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02/09/2017
L1-regularized Reconstruction Error as Alpha Matte
Sampling-based alpha matting methods have traditionally followed the com...
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11/16/2016
Weakly Supervised Top-down Salient Object Detection
Top-down saliency models produce a probability map that peaks at target ...
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04/22/2016
A Classifier-guided Approach for Top-down Salient Object Detection
We propose a framework for top-down salient object detection that incorp...
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04/11/2016
