Jun 2, 2023 · In this work we explore a simple mechanism for in-context learning of such scene understanding tasks: nearest neighbor retrieval from a prompt ...
The paper presents a non-parametric nearest neighbor retrieval method designed to efficiently adapt a pretrained model for dense scene understanding tasks. The ...
In this work we explore a simple mechanism for in-context learning of such scene understanding tasks: nearest neighbor retrieval from a prompt of annotated.
In this work we explore a simple mechanism for in-context learning of such scene understanding tasks: nearest neighbor retrieval from a prompt of annotated ...
Jun 6, 2023 · Introducing Hummingbird, a model capable of in-context scene understanding with a remarkably simple mechanism: memory retrieval. https://t.co/
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and seg- ments each object component, ...
Standing on the shoulders of predecessors, in this paper, we present the first attempt at multimodal in-context learn- ing. The central concept aims to unify ...
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In this paper, we study a new task called Unified Perceptual Parsing, which requires the machine vision systems to recognize as many visual concepts as possible ...
Jun 6, 2023 · The primary challenge lies in effectively supervising networks under extremely noisy pseudo labels, which are generated by CLIP and further ...
In this thesis, we propose a set of novel techniques for object detection, segmentation, and contextual reasoning and take a further step towards the ultimate ...