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11/28/2022
PyTorch Adapt
PyTorch Adapt is a library for domain adaptation, a type of machine lear...
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08/15/2022
Benchmarking Validation Methods for Unsupervised Domain Adaptation
This paper compares and ranks 11 UDA validation methods. Validators esti...
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06/29/2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
We show that the effectiveness of the well celebrated Mixup [Zhang et al...
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05/18/2022
VRAG: Region Attention Graphs for Content-Based Video Retrieval
Content-based Video Retrieval (CBVR) is used on media-sharing platforms ...
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03/28/2022
ObjectFormer for Image Manipulation Detection and Localization
Recent advances in image editing techniques have posed serious challenge...
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11/30/2021
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Built on top of self-attention mechanisms, vision transformers have demo...
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10/27/2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Many widely used datasets for graph machine learning tasks have generall...
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01/26/2021
Deep Video Inpainting Detection
This paper studies video inpainting detection, which localizes an inpain...
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12/15/2020
GTA: Global Temporal Attention for Video Action Understanding
Self-attention learns pairwise interactions via dot products to model lo...
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07/24/2020
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) aims to adapt models from a lab...
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04/17/2020
Quantization Guided JPEG Artifact Correction
The JPEG image compression algorithm is the most popular method of image...
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03/03/2020
Deep Multi-Modal Sets
Many vision-related tasks benefit from reasoning over multiple modalitie...
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02/29/2020
Differentiating through the Fréchet Mean
Recent advances in deep representation learning on Riemannian manifolds ...
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12/12/2019
Unconstrained Facial Expression Transfer using Style-based Generator
Facial expression transfer and reenactment has been an important researc...
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10/31/2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
We present a systematic study of adversarial attacks on state-of-the-art...
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11/20/2018
