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03/25/2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers
Vision Transformers (ViTs) emerge to achieve impressive performance on m...
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03/16/2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
Generalized few-shot object detection aims to achieve precise detection ...
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10/22/2022
Weakly-Supervised Temporal Article Grounding
Given a long untrimmed video and natural language queries, video groundi...
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07/20/2022
Explicit Image Caption Editing
Given an image and a reference caption, the image caption editing task a...
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04/16/2022
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting
We study multimodal few-shot object detection (FSOD) in this paper, usin...
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03/28/2022
Few-Shot Object Detection with Fully Cross-Transformer
Few-shot object detection (FSOD), with the aim to detect novel objects u...
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02/03/2022
The Met Dataset: Instance-level Recognition for Artworks
This work introduces a dataset for large-scale instance-level recognitio...
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12/17/2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
Few-shot object detection (FSOD) aims to detect never-seen objects using...
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04/15/2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
Few-shot object detection (FSOD) aims to detect objects using only few e...
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12/24/2020
Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition
Recent works seek to endow recognition systems with the ability to handl...
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07/01/2020