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Found 16 papers, 1 papers with code
Efficient Neural Architecture Search for Emotion Recognition
In this paper, we proposed to search for a highly efficient and robust neural architecture for both macro and micro-level facial expression recognition.
Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs
Therefore, this paper aims to provide a deep insight into the DL-based MER frameworks with a perspective on promises in network model designing, experimental strategies, challenges, and research needs.
RARITYNet: Rarity Guided Affective Emotion Learning Framework
Inspired from the assets of handcrafted and deep learning approaches, we proposed a RARITYNet: RARITY guided affective emotion learning framework to learn the appearance features and identify the emotion class of facial expressions.
Cross-Centroid Ripple Pattern for Facial Expression Recognition
CRIP encodes the transitional pattern of a facial expression by incorporating cross-centroid relationship between two ripples located at radius r1 and r2 respectively.
Facial Expression Recognition
Facial Expression Recognition (FER)
One for All: An End-to-End Compact Solution for Hand Gesture Recognition
The FineFeat module extracts fine grained feature maps by employing attention mechanism over multiscale receptive fields.
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
To the best of our knowledge, this is a first attempt to comparatively analyze the different evaluation frameworks used in the existing deep change detection methods.
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
Therefore, in this paper, we introduce MOR-UAV, a large-scale video dataset for MOR in aerial videos.
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
However, existing networks fail to establish a relationship between spatial features of facial appearance and temporal variations of facial dynamics.
MotionRec: A Unified Deep Framework for Moving Object Recognition
To the best of our knowledge, this is a first attempt for simultaneous localization and classification of moving objects in a video, i. e. MOR in a single-stage deep learning framework.
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection
In this paper we propose an end-to-end swift 3D feature reductionist framework (3DFR) for scene independent change detection.
3D CNN with Localized Residual Connections for Hyperspectral Image Classification
Our work chalks a comparative study with the existing methods employed for abstracting deeper features and propose a model which incorporates residual features from multiple stages in the network.
SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes
Detection of small-sized targets is of paramount importance in many aerial vision-based applications.
AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data
Detection of small-sized targets in aerial views is a challenging task due to the smallness of vehicle size, complex background, and monotonic object appearances.
Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos
In this paper, we present a three-stage pipeline to learn the motion patterns in videos to detect a visual anomaly.
LEARNet Dynamic Imaging Network for Micro Expression Recognition
We also propose a Lateral Accretive Hybrid Network (LEARNet) to capture micro-level features of an expression in the facial region.
CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction
Background subtraction in video provides the preliminary information which is essential for many computer vision applications.
