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Found 15 papers, 8 papers with code
FACET: Fairness in Computer Vision Evaluation Benchmark
We present a new benchmark named FACET (FAirness in Computer Vision EvaluaTion), a large, publicly available evaluation set of 32k images for some of the most common vision tasks - image classification, object detection and segmentation.
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
Inspired by this, we introduce a novel task, text-guided video completion (TVC), which requests the model to generate a video from partial frames guided by an instruction.
Ranked #3 on
Video Prediction
on BAIR Robot Pushing
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization
Our experiments show the proposed adaptations improve egocentric query detection, leading to a better visual query localization system in both 2D and 3D configurations.
Token Merging: Your ViT But Faster
Off-the-shelf, ToMe can 2x the throughput of state-of-the-art ViT-L @ 512 and ViT-H @ 518 models on images and 2. 2x the throughput of ViT-L on video with only a 0. 2-0. 3% accuracy drop in each case.
Ranked #13 on
Efficient ViTs
on ImageNet-1K (with DeiT-S)
Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying them to large images is still computationally difficult.
Negative Frames Matter in Egocentric Visual Query 2D Localization
The repeated gradient computation of the same object lead to an inefficient training; (2) The false positive rate is high on background frames.
End-to-End Visual Editing with a Generatively Pre-Trained Artist
We consider the targeted image editing problem: blending a region in a source image with a driver image that specifies the desired change.
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things
In addition, the instance mask projection operator works well on other (non-clothing) datasets, providing an improvement of 3 points in mIOU on Thing classes of Cityscapes, a self-driving dataset, on top of a state-of-the-art approach.
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
COCO test-dev results are up to 41. 4 mAP for RetinaMask-101 vs 39. 1mAP for RetinaNet-101, while the runtime is the same during evaluation.
Ranked #167 on
Object Detection
on COCO minival
Target Driven Instance Detection
While state-of-the-art general object detectors are getting better and better, there are not many systems specifically designed to take advantage of the instance detection problem.
Video Highlight Prediction Using Audience Chat Reactions
Sports channel video portals offer an exciting domain for research on multimodal, multilingual analysis.
DSSD : Deconvolutional Single Shot Detector
The main contribution of this paper is an approach for introducing additional context into state-of-the-art general object detection.
Fast Single Shot Detection and Pose Estimation
For applications in navigation and robotics, estimating the 3D pose of objects is as important as detection.
SSD: Single Shot MultiBox Detector
Experimental results on the PASCAL VOC, MS COCO, and ILSVRC datasets confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified framework for both training and inference.
Ranked #3 on
Object Detection
on PASCAL VOC 2012
Piecewise Linear Activation Functions For More Efficient Deep Networks
This submission has been withdrawn by arXiv administrators because it is intentionally incomplete, which is in violation of our policies.
