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08/04/2023
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Open-vocabulary segmentation is a challenging task requiring segmenting ...
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06/12/2023
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation
In this work, we present a robust approach for joint part and object seg...
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12/02/2021
PartImageNet: A Large, High-Quality Dataset of Parts
A part-based object understanding facilitates efficient compositional le...
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11/29/2021
ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
Enhancing the robustness in real-world scenarios has been proven very ch...
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11/25/2021
Learning from Temporal Gradient for Semi-supervised Action Recognition
Semi-supervised video action recognition tends to enable deep neural net...
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11/18/2021
TransMix: Attend to Mix for Vision Transformers
Mixup-based augmentation has been found to be effective for generalizing...
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06/01/2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Semi-Supervised Learning (SSL) has shown its strong ability in utilizing...
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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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01/28/2021
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification
Few-shot image classification consists of two consecutive learning proce...
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01/26/2021
Semi-synthesis: A fast way to produce effective datasets for stereo matching
Stereo matching is an important problem in computer vision which has dra...
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03/10/2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Recent work has shown that deep convolutional neural networks (DCNNs) do...
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11/28/2018
