Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient DetectorsLinfeng ZhangKaisheng MaInternational Conference on Learning Representations
Object-Detection-Knowledge-Distillation-ICLR2021 The official implementation of ICLR2021 paper "Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors". Please refer to thesupplementary material in Openreviewfor the codes now. ...
Object detectors are core components of multimodal models, enabling them to locate the region of interest in images which are then used to solve many multimodal tasks. Among the many extant object detectors, the Bottom-Up Faster R-CNN [39] (BUA) object d
“Feature Map Flow, FMF” for 3D object detection and tracking, considering time-spatial feature map aggregation from different timesteps of deep neural model inference. Several versions of the FMF are proposed: from common concatenation to context-based feature map fusion and odometry usage for ...
This feature is used when computing the confidence of either a prediction or of making no prediction at all (NULL). You should expect an empty field with high confidence for missing values that are mostly empty in the training set too. Can confidence scores alter if an optional field is ...
“You-Only-Look-Once” method is applied to provide accurate vehicle detection; a convex hull is implemented to conduct road detection; and simple supporting methods are used to describe traffic states. This combination yields a classification of traffic congestion based on defined parameter thresholds...
CrackIT is known as a crack detection algorithm that allows a user to choose between a block-based or a pixel-based approach. The block-based approach is noise-tolerant but is not accurate in edge localization while the pixel-based approach gives accurate edge localisation but is not noise-...
Improved salient object detection based upon graph-based manifold ranking Existing salient object detection algorithm based graph-based manifold ranking is less effective in detecting images with complex background due to its ide... Q Zhang,J Lin,M Dai - 《Computer Engineering & Applications》 被引...
However, Big Data programming models are based on interfaces like Hadoop [2] or Spark [3]. In addition to different programming models, programming languages also differ between both communities: being Fortran and C/C++ the most common languages in HPC applications, and Java, Scala, or Python ...
Phasar— A LLVM-based static analysis framework which comes with a taint and type state analysis. Polyspace Bug Finder ©️ — Identifies run-time errors, concurrency issues, security vulnerabilities, and other defects in C and C++ embedded software. Polyspace Code Prover ©️ — Provide co...