Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective
|
Loading...
Lütfen bekleyiniz...
Type
Size

İlgili Videolar

Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective

Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective

|
Mutual Learning for Long-Tailed Recognition

Mutual Learning for Long-Tailed Recognition

|
Session 7C - Does Learning Require Memorization? A Short Tale about a Long Tail

Session 7C - Does Learning Require Memorization? A Short Tale about a Long Tail

|
Decoupling Representation and Classifier for Long-Tailed Recognition

Decoupling Representation and Classifier for Long-Tailed Recognition

|
Long-Tailed Distribution Learning - Long-Tailed Visual Recognition in the Wild

Long-Tailed Distribution Learning - Long-Tailed Visual Recognition in the Wild

|
Long-Tailed Visual Recognition

Long-Tailed Visual Recognition

|
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition

Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition

|
Feature Generation for Long Tail Classification

Feature Generation for Long Tail Classification

|
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

|
The Long Tail Problem in Computer Vision

The Long Tail Problem in Computer Vision

|
589 - Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection

589 - Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection

|
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

|
Graham Taylor: Dataset Augmentation in Feature Space

Graham Taylor: Dataset Augmentation in Feature Space

|
Large-Scale Long-Tailed Recognition in an Open World (CVPR 2019 Oral)

Large-Scale Long-Tailed Recognition in an Open World (CVPR 2019 Oral)

|
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Per...

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Per...

|
Towards Visual Recognition in the Wild: Long-Tailed Sources and Open Compound Targets

Towards Visual Recognition in the Wild: Long-Tailed Sources and Open Compound Targets

|
ECCV 2020: The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation

ECCV 2020: The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation

|
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax

|
Neural Search for Low Resource Scenarios

Neural Search for Low Resource Scenarios

|
IPCV Invited Talk on "Learning from Imbalanced Visual Data" by Ming-Hsuan Yang and Boqing Gong

IPCV Invited Talk on "Learning from Imbalanced Visual Data" by Ming-Hsuan Yang and Boqing Gong

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa