Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again…. If a researcher a few years back would have told me transformers are going to change the way we do most of the CNN…

Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again…. In all the different versions of Yolo we are having, from my perspective after Yolov3 the YoloX has the max improvement in all aspects…

Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again…. Attribute recognition is an important topic in the video surveillance domain especially detection of a Pedestrian and recognition of the person's attributes gives an…

Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again…. Graph neural network is currently the hot cake topic and due to its robustness, it makes sense to apply on point cloud data. …

Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again…. 3D Point cloud segmentation is a challenging task due to segmentation of objects which represent global structural property. More difficult task is to have…

Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again…. 3D point cloud segmentation reprents the global geometric structure and fine grained details of the point which has a numerous usecases in many applications…

From the world of performing object detection to object segmentation is a giant leap , performing mask segmentation of objects is much harder than obtaining bounding box of objects in object detection. In this current paper the author has a made an attempt to obtain segmentation mask of object i.e…

In the world of object detection balancing the trade off between accuracy and performance efficiency of the detectors is a major challenge ,we would want high accurate object detectors which gives real time performance and use few computation time so that they can be deployed easily on the hardware platform…

Another great paper on the 3D object detection using already existing architecture and keeping it simple and efficient Please note that this post is for my future self to look back and review the materials on this paper without reading it all over again Abstract