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20202026
most citedOODformer: Out-Of-Distribution Detection Transformer

14 citations · 44 across the 15 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 2 cited

Do DALL-E and Flamingo Understand Each Other?

Hang Li, Jindong Gu, Rajat Koner +2

The field of multimodal research focusing on the comprehension and creation of both images and text has witnessed significant strides. This progress is exemplified by the emergence…

cs.CV2022★ 3 cited

InstanceFormer: An Online Video Instance Segmentation Framework

Rajat Koner, Tanveer Hannan, Suprosanna Shit +4

Recent transformer-based offline video instance segmentation (VIS) approaches achieve encouraging results and significantly outperform online approaches. However, their reliance on…

cs.CV2022★ 4 cited

Relationformer: A Unified Framework for Image-to-Graph Generation

Suprosanna Shit, Rajat Koner, Bastian Wittmann +8

A comprehensive representation of an image requires understanding objects and their mutual relationship, especially in image-to-graph generation, e.g., road network extraction, blo…

cs.CV2022

Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space

Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher +1

It is essential for safety-critical applications of deep neural networks to determine when new inputs are significantly different from the training distribution. In this paper, we…

cs.CV2022

Box Supervised Video Segmentation Proposal Network

Tanveer Hannan, Rajat Koner, Jonathan Kobold +1

Video Object Segmentation (VOS) has been targeted by various fully-supervised and self-supervised approaches. While fully-supervised methods demonstrate excellent results, self-sup…