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 9761000 of 10419 papers

TitleStatusHype
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
Compressive Visual RepresentationsCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
How to Combine Variational Bayesian Networks in Federated LearningCode1
Are These Birds Similar: Learning Branched Networks for Fine-grained RepresentationsCode1
How to train your ViT? Data, Augmentation, and Regularization in Vision TransformersCode1
How Well Do Self-Supervised Models Transfer?Code1
HRN: A Holistic Approach to One Class LearningCode1
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight TransformersCode1
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean SpaceCode1
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsCode1
Hyperbolic Image EmbeddingsCode1
Can We Talk Models Into Seeing the World Differently?Code1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
Automating Continual LearningCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
Hyperspectral Image Classification with Attention Aided CNNsCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
iDAT: inverse Distillation Adapter-TuningCode1
A Fast 3D CNN for Hyperspectral Image ClassificationCode1
Image and Text fusion for UPMC Food-101 \ BERT and CNNsCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
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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