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computer-vision-9

Short-term Object Interaction Anticipation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

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Dataset

Best Model

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Ego4D

Libraries

Use these libraries to find short-term-object-interaction-anticipation-9 models and implementations

Datasets

Ego4D

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Most implemented papers

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

Zhe Chen, Jiashuo Yu, Yali Wang, Jiahao Wang, Yu Qiao, Junting Pan, Kunchang Li, Yinan He, Zun Wang, Guo Chen, Hongjie Zhang, Bingkun Huang, Zhiyu Zhao, Yi Liu, Sen Xing, Yifei Huang, Yi Wang, Yizhuo Li, Yin-Dong Zheng, Tong Lu, Liming Wang•Wed Nov 16 2022

In these five tasks, the performance of InternVideo-Ego4D comprehensively surpasses the baseline methods and the champions of CVPR2022, demonstrating the powerful representation ability of Intern video as a video foundation model.

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers

Paper Graph

ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios

Antonino Furnari, G. Farinella, Rosario Leonardi, Francesco Ragusa, Michele Mazzamuto, Claudia Bonanno, Rosario Scavo•Mon Sep 25 2023

Baseline results show that the ENIGMA-51 dataset poses a challenging benchmark to study human behavior in industrial scenarios.

10 0

Paper Graph

StillFast: An End-to-End Approach for Short-Term Object Interaction Anticipation

Antonino Furnari, G. Farinella, Francesco Ragusa•Fri Apr 07 2023

This paper studied the short-term object interaction anticipation problem from the egocentric point of view, proposing a new end-to-end architecture named StillFast, which is ranked first in the public leaderboard of the EGO4D short term object interaction expectation challenge 2022 and it is the official baseline for the 2023 one.

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Enhancing Next Active Object-Based Egocentric Action Anticipation with Guided Attention

A. D. Bue, Vittorio Murino, Pietro Morerio, Sanket Thakur, Cigdem Beyan•Sun May 21 2023

The experimental results performed on the largest egocentric dataset demonstrate that GANO outperforms the existing state-of-the-art methods for the prediction of the next active object label, its bounding box location, the corresponding future action, and the time to contact the object.

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InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion

Sirui Xu, Zhengyu Li, Yu-Xiong Wang, Liangyan Gui•Wed Aug 30 2023

This paper proposes InterDiff, a framework comprising two key steps: interaction diffusion, where a diffusion model is leverage to encode the distribution of future human-object interactions; and interaction correction, where a physics-informed predictor is introduced to correct denoised HOIs in a diffusion step.

179 0

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Short-term Object Interaction Anticipation | State-of-the-Art