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

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Showing 4051–4100 of 10420 papers

TitleStatusHype
Identifying Adversarially Attackable and Robust SamplesCode0
Attentive NormalizationCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Federated Unlearning via Class-Discriminative PruningCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Hysteresis Activation Function for Efficient InferenceCode0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
Cross-Modal Alternating Learning with Task-Aware Representations for Continual LearningCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Attention Masks Help Adversarial Attacks to Bypass Safety DetectorsCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
Hyperspectral image classification via a random patches networkCode0
Compressing Vision Transformers for Low-Resource Visual LearningCode0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Few and Fewer: Learning Better from Few Examples Using Fewer Base ClassesCode0
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty MeasurementCode0
Cross-domain Open-world DiscoveryCode0
A self-interpretable module for deep image classification on small dataCode0
Cross-Domain Image Classification through Neural-Style Transfer Data AugmentationCode0
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image ClassificationCode0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs BetterCode0
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross ModulationCode0
A Large-scale Study of Representation Learning with the Visual Task Adaptation BenchmarkCode0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical ProjectionsCode0
Cross-domain Contrastive Learning for Unsupervised Domain AdaptationCode0
On Biases in a UK Biobank-based Retinal Image Classification ModelCode0
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image ClassificationCode0
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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