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Found 8 papers, 1 papers with code
Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability
In this survey, we address the above with a thorough discussion of various categories of video segmentation, a component-wise discussion of the state-of-the-art transformer-based models, and a review of related interpretability methods.
DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction
Predicting temporally consistent road users' trajectories in a multi-agent setting is a challenging task due to unknown characteristics of agents and their varying intentions.
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
We present a meta-learned Multiscale Memory Comparator (MMC) for few-shot video segmentation that combines information across scales within a transformer decoder.
A Unified Multiscale Encoder-Decoder Transformer for Video Segmentation
In this paper, we present an end-to-end trainable unified multiscale encoder-decoder transformer that is focused on dense prediction tasks in video.
Distributed Iterative Gating Networks for Semantic Segmentation
In this paper, we present a canonical structure for controlling information flow in neural networks with an efficient feedback routing mechanism based on a strategy of Distributed Iterative Gating (DIGNet).
Recurrent Iterative Gating Networks for Semantic Segmentation
The iterative nature of this mechanism allows for gating to spread in both spatial extent and feature space.
A novel and effective scoring scheme for structure classification and pairwise similarity measurement
The effectiveness of our method is tested on standard benchmark structures.
CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval
Due to the advancements in technology number of entries in the structural database of proteins are increasing day by day.
