SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4026–4050 of 10420 papers

TitleStatusHype
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic SegmentationCode0
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model—0
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model—0
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent—0
Automatic Recognition of Learning Resource Category in a Digital LibraryCode0
PAWS-VMK: A Unified Approach To Semi-Supervised Learning And Out-of-Distribution Detection—0
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review—0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
SUT: a new multi-purpose synthetic dataset for Farsi document image analysisCode0
Adversarial Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights—0
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines—0
One-bit Supervision for Image Classification: Problem, Solution, and Beyond—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]—0
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image ClassificationCode0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning—0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
Learning in Deep Factor Graphs with Gaussian Belief PropagationCode0
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image ClassificationCode0
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Hardware Resilience Properties of Text-Guided Image ClassifiersCode0
Learning to Complement with Multiple Humans—0
EA-KD: Entropy-based Adaptive Knowledge Distillation—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified