RESEARCH

COMPUTER VISION

Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection

October 22, 2022

Abstract

In this paper, we tackle the challenging problem of Few-shot Object Detection. Existing FSOD pipelines (i) use average-pooled representations that result in information loss; and/or (ii) discard position information that can help detect object instances. Consequently, such pipelines are sensitive to large intra-class appearance and geometric variations between support and query images. To address these drawbacks, we propose a Time-rEversed diffusioN tEnsor Transformer (TENET), which i) forms high-order tensor representations that capture multi-way feature occurrences that are highly discriminative, and ii) uses a trans- former that dynamically extracts correlations between the query image and the entire support set, instead of a single average-pooled support em- bedding. We also propose a Transformer Relation Head (TRH), equipped with higher-order representations, which encodes correlations between query regions and the entire support set, while being sensitive to the positional variability of object instances. Our model achieves state-of- the-art results on PASCAL VOC, FSOD, and COCO.

Download the Paper

AUTHORS

Written by

Naila Murray

Lei Wang

Piotr Koniusz

Shan Zhang

Publisher

ECCV

Research Topics

Computer Vision

Related Publications

May 06, 2024

REINFORCEMENT LEARNING

COMPUTER VISION

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint

Haoyue Tang, Tian Xie

May 06, 2024

April 23, 2024

COMPUTER VISION

Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar

Jamie Tolan, Eric Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie, Edward Saenz

April 23, 2024

April 23, 2024

CONVERSATIONAL AI

GRAPHICS

Generating Illustrated Instructions

Sachit Menon, Ishan Misra, Rohit Girdhar

April 23, 2024

April 18, 2024

COMPUTER VISION

Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation

Jonas Kohler, Albert Pumarola, Edgar Schoenfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali Thabet

April 18, 2024

Help Us Pioneer The Future of AI

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.