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09/02/2023
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation
Monocular and binocular self-supervised depth estimations are two import...
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07/14/2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Open-set image recognition is a challenging topic in computer vision. Mo...
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11/25/2022
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition
Triggered by the success of transformers in various visual tasks, the sp...
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09/23/2022
Descriptor Distillation: a Teacher-Student-Regularized Framework for Learning Local Descriptors
Learning a fast and discriminative patch descriptor is a challenging top...
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09/15/2022
Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation
Self-supervised monocular depth estimation has received much attention r...
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07/13/2022
Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling
Open-set recognition (OSR) aims to simultaneously detect unknown-class s...
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03/30/2022
An Iterative Co-Training Transductive Framework for Zero Shot Learning
In zero-shot learning (ZSL) community, it is generally recognized that t...
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03/21/2022
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth Estimation
Self-supervised monocular depth estimation, aiming to learn scene depths...
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03/17/2022
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
Zero-shot learning (ZSL) aims to recognize objects from unseen classes, ...
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01/16/2022
Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction
How to use multiple optical satellite images to recover the 3D scene str...
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01/14/2022
HardBoost: Boosting Zero-Shot Learning with Hard Classes
This work is a systematical analysis on the so-called hard class problem...
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07/08/2021
SCSS-Net: Superpoint Constrained Semi-supervised Segmentation Network for 3D Indoor Scenes
Many existing deep neural networks (DNNs) for 3D point cloud semantic se...
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07/07/2021
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Many recent works show that a spatial manipulation module could boost th...
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07/07/2021
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
How to learn long-range dependencies from 3D point clouds is a challengi...
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07/01/2021
Segmenting 3D Hybrid Scenes via Zero-Shot Learning
This work is to tackle the problem of point cloud semantic segmentation ...
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06/01/2021
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning
Transductive zero-shot learning (T-ZSL) which could alleviate the domain...
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08/29/2020
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
Recently, many zero-shot learning (ZSL) methods focused on learning disc...
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10/22/2019
Face representation by deep learning: a linear encoding in a parameter space?
Recently, Convolutional Neural Networks (CNNs) have achieved tremendous ...
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06/06/2019
Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)
Recently DCNN (Deep Convolutional Neural Network) has been advocated as ...
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12/12/2016