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 18511860 of 10420 papers

TitleStatusHype
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods0
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning0
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image ClassificationCode0
Distilled Gradual Pruning with Pruned Fine-tuningCode0
What to Do When Your Discrete Optimization Is the Size of a Neural Network?Code0
How Flawed Is ECE? An Analysis via Logit SmoothingCode0
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification0
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical HeterogeneityCode0
ViGEO: an Assessment of Vision GNNs in Earth ObservationCode0
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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