Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1851–1860 of 10420 papers

Title	Date	Tasks	Status	Hype	Score
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections	Nov 28, 2024	image-classificationImage Classification	CodeCode Available	1	5
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling	May 10, 2022	Few-Shot Image ClassificationGeneral Classification	CodeCode Available	1	5
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier	Jan 3, 2021	ClassificationCross-Domain Few-Shot	CodeCode Available	1	5
A fuzzy distance-based ensemble of deep models for cervical cancer detection	Mar 30, 2022	Image ClassificationTransfer Learning	CodeCode Available	1	5
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation	Mar 20, 2022	image-classificationImage Classification	CodeCode Available	1	5
Shredder: Learning Noise Distributions to Protect Inference Privacy	May 26, 2019	GPUimage-classification	CodeCode Available	1	5
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads	Jun 27, 2024	Diversityimage-classification	CodeCode Available	1	5
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning	Sep 12, 2022	Federated Learningimage-classification	CodeCode Available	1	5
Go Wider Instead of Deeper	Jul 25, 2021	Image ClassificationMixture-of-Experts	CodeCode Available	1	5
Combating Label Noise in Deep Learning Using Abstention	May 27, 2019	Deep LearningGeneral Classification	CodeCode Available	1	5

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All datasets ImageNet CIFAR-10 CIFAR-100 STL-10 ObjectNet MNIST SVHN iNaturalist 2018 ImageNet ReaL Flowers-102 Clothing1M mini WebVision 1.0

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CoCa (finetuned)	Top 1 Accuracy	91	—	Unverified
2	Model soups (BASIC-L)	Top 1 Accuracy	90.98	—	Unverified
3	Model soups (ViT-G/14)	Top 1 Accuracy	90.94	—	Unverified
4	DaViT-G	Top 1 Accuracy	90.4	—	Unverified
5	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
6	DaViT-H	Top 1 Accuracy	90.2	—	Unverified
7	SwinV2-G	Top 1 Accuracy	90.17	—	Unverified
8	MAWS (ViT-6.5B)	Top 1 Accuracy	90.1	—	Unverified
9	Florence-CoSwin-H	Top 1 Accuracy	90.05	—	Unverified
10	RevCol-H	Top 1 Accuracy	90	—	Unverified