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From the 1 of 63 linked papers with an AI index.

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20152023
most citedA General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting

180 citations · 844 across the 57 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

cs.CV2019★ 4 cited

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning

Ilchae Jung, Kihyun You, Hyeonwoo Noh +2

We propose a novel meta-learning framework for real-time object tracking with efficient model adaptation and channel pruning. Given an object tracker, our framework learns to fine-…

cs.LG2019★ 5 cited

Mining GOLD Samples for Conditional GANs

Sangwoo Mo, Chiheon Kim, Sungwoong Kim +2

Conditional generative adversarial networks (cGANs) have gained a considerable attention in recent years due to its class-wise controllability and superior quality for complex gene…

cs.LG2019

Regularizing Neural Networks via Stochastic Branch Layers

Wonpyo Park, Paul Hongsuck Seo, Bohyung Han +1

We introduce a novel stochastic regularization technique for deep neural networks, which decomposes a layer into multiple branches with different parameters and merges stochastical…

cs.CV2019★ 68 cited

SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Juhong Min, Jongmin Lee, Jean Ponce +1

Establishing visual correspondences under large intra-class variations, which is often referred to as semantic correspondence or semantic matching, remains a challenging problem in…

cs.CV2019

Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features

Juhong Min, Jongmin Lee, Jean Ponce +1

Establishing visual correspondences under large intra-class variations requires analyzing images at different levels, from features linked to semantics and context to local pattern…

cs.CV2019★ 48 cited

Relational Knowledge Distillation

Wonpyo Park, Dongju Kim, Yan Lu +1

Knowledge distillation aims at transferring knowledge acquired in one model (a teacher) to another model (a student) that is typically smaller. Previous approaches can be expressed…