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08/15/2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Jointly processing information from multiple sensors is crucial to achie...
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03/20/2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning
Although many recent works have investigated generalizable NeRF-based no...
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10/09/2022
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
We present a novel two-stage fully sparse convolutional 3D object detect...
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03/30/2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Conventional deep learning based methods for object detection require a ...
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05/28/2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Few-shot learning (FSL) has attracted increasing attention in recent yea...
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08/14/2019
Few-Shot Learning with Global Class Representations
In this paper, we propose to tackle the challenging few-shot learning (F...
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10/19/2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning
Zero-shot learning (ZSL) is made possible by learning a projection funct...
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10/19/2018
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...
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07/04/2017
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics
Fine-grained image classification, which aims to distinguish images with...
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06/14/2017