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Found 9 papers, 5 papers with code
SceneCalib: Automatic Targetless Calibration of Cameras and Lidars in Autonomous Driving
Accurate camera-to-lidar calibration is a requirement for sensor data fusion in many 3D perception tasks.
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
We evaluate our SSL approach on two downstream tasks -- object detection and semantic segmentation, using COCO, PASCAL VOC, and CityScapes datasets.
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
Recording the dynamics of unscripted human interactions in the wild is challenging due to the delicate trade-offs between several factors: participant privacy, ecological validity, data fidelity, and logistical overheads.
Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
In this paper, we identify and explore relevant CTI from hacker forums utilizing different supervised (classification) and unsupervised learning (topic modeling) techniques.
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
As the base dataset and unlabeled dataset are from different domains, projecting the target images in the class-domain of the base dataset with a fixed pretrained model might be sub-optimal.
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Tremendous progress has been made in visual representation learning, notably with the recent success of self-supervised contrastive learning methods.
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Moreover, our temporal semi-soft and hard attention modules, calculating two attention scores for each video snippet, help to focus on the less discriminative frames of an action to capture the full action boundary.
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
To the best of our knowledge, we are the first to propose such a network architecture with the 1st-order attention mechanism from the affinity matrix.
Weakly Supervised Temporal Action Localization Using Deep Metric Learning
We propose a classification module to generate action labels for each segment in the video, and a deep metric learning module to learn the similarity between different action instances.
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Temporal Action Localization
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