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Found 9 papers, 1 papers with code
Optimized Information Flow for Transformer Tracking
One-stream Transformer trackers have shown outstanding performance in challenging benchmark datasets over the last three years, as they enable interaction between the target template and search region tokens to extract target-oriented features with mutual guidance.
Transformers in Single Object Tracking: An Experimental Survey
Single-object tracking is a well-known and challenging research topic in computer vision.
Effect of Pressure for Compositionality on Language Emergence
In this paper, we present a learning environment where agents are pressured to make their emerging languages compositional by incorporating a metric of topological similarity into the loss function.
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
The network parameters pose as the parameters of those distributions.
End-To-End Data-Dependent Routing in Multi-Path Neural Networks
Having multiple parallel convolutional/dense operations in each layer solves this problem, but without any context-dependent allocation of resources among these operations: the parallel computations tend to learn similar features making the widening process less effective.
Optimizing robotic swarm based construction tasks
Social insects in nature such as ants, termites and bees construct their colonies collaboratively in a very efficient process.
Transferring Domain Knowledge with an Adviser in Continuous Tasks
Recent advances in Reinforcement Learning (RL) have surpassed human-level performance in many simulated environments.
Feature-Dependent Cross-Connections in Multi-Path Neural Networks
As opposed to conventional network widening, multi-path architectures restrict the quadratic increment of complexity to a linear scale.
Context-Aware Multipath Networks
In view of this, networks which can allocate resources according to the context of the input and regulate flow of information across the network are effective.
Ranked #2 on
Image Classification
on Kuzushiji-MNIST
