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06/02/2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Observing the close relationship among panoptic, semantic and instance s...
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05/10/2023
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
We present Integrated Multimodal Perception (IMP), a simple and scalable...
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03/29/2023
Towards Understanding the Effect of Pretraining Label Granularity
In this paper, we study how pretraining label granularity affects the ge...
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02/13/2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
Contrastively trained text-image models have the remarkable ability to p...
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10/20/2022
MovieCLIP: Visual Scene Recognition in Movies
Longform media such as movies have complex narrative structures, with ev...
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09/30/2022
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models
We present F-VLM, a simple open-vocabulary object detection method built...
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03/15/2022
Surrogate Gap Minimization Improves Sharpness-Aware Training
The recently proposed Sharpness-Aware Minimization (SAM) improves genera...
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12/22/2021
Open-Vocabulary Image Segmentation
We design an open-vocabulary image segmentation model to organize an ima...
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09/03/2021
Revisiting 3D ResNets for Video Recognition
A recent work from Bello shows that training and scaling strategies may ...
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06/25/2021
Single Image Texture Translation for Data Augmentation
Recent advances in image synthesis enables one to translate images by le...
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06/18/2021
Bridging the Gap Between Object Detection and User Intent via Query-Modulation
When interacting with objects through cameras, or pictures, users often ...
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04/28/2021
Zero-Shot Detection via Vision and Language Knowledge Distillation
Zero-shot image classification has made promising progress by training t...
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04/22/2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
We present a framework for learning multimodal representations from unla...
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12/13/2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Building instance segmentation models that are data-efficient and can ha...
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10/22/2020
Efficient Scale-Permuted Backbone with Learned Resource Distribution
Recently, SpineNet has demonstrated promising results on object detectio...
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09/09/2020
Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra
It is challenging to detect small-floating object in the sea clutter for...
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06/11/2020
Rethinking Pre-training and Self-training
Pre-training is a dominant paradigm in computer vision. For example, sup...
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04/26/2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute...
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12/21/2019
Measuring Dataset Granularity
Despite the increasing visibility of fine-grained recognition in our fie...
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12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
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06/13/2019
The iMaterialist Fashion Attribute Dataset
Large-scale image databases such as ImageNet have significantly advanced...
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01/16/2019
Class-Balanced Loss Based on Effective Number of Samples
With the rapid increase of large-scale, real-world datasets, it becomes ...
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06/17/2018
Learning to Evaluate Image Captioning
Evaluation metrics for image captioning face two challenges. Firstly, co...
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06/16/2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Transferring the knowledge learned from large scale datasets (e.g., Imag...
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12/16/2015