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

Showing 22262250 of 10420 papers

TitleStatusHype
Interpretable Medical Image Classification using Prototype Learning and Privileged InformationCode1
AGI-Elo: How Far Are We From Mastering A Task?Code1
Deep Network Ensemble Learning applied to Image Classification using CNN TreesCode1
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision ModelsCode1
Convolution-enhanced Evolving Attention NetworksCode1
Interpretable Image Classification via Non-parametric Part Prototype LearningCode1
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelCode1
Deep Polynomial Neural NetworksCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
OccamNet: A Fast Neural Model for Symbolic Regression at ScaleCode1
Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image ClassificationCode1
Investigating and Explaining the Frequency Bias in Image ClassificationCode1
JigsawHSI: a network for Hyperspectral Image classificationCode1
Knowledge Distillation Using Hierarchical Self-Supervision Augmented DistributionCode1
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image ClassificationCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex NetworkCode1
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationCode1
Local Window Attention Transformer for Polarimetric SAR Image ClassificationCode1
Deep Roto-Translation Scattering for Object ClassificationCode1
Convolutional Spiking Neural Networks for Spatio-Temporal Feature ExtractionCode1
Convolutional Xformers for VisionCode1
Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksCode1
On Minimum Discrepancy Estimation for Deep Domain AdaptationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified