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4 years ago in Discussion , Focus Group Discussions , PhD Problem Statement , PhD Proposal/Synopsis By Xoxo
How to bring novelty in object detection (say, the object is weapon)
Researchers in weapon detection used feature descriptors, edge detectors, etc to enhance weapon detection. Then the trend shifted to using deep neural network, using SSD, YOLO, RCNN, etc. providing even faster and enhanced results in detecting object (weapons). I feel like almost every idea possible has been implemented already and don't see much scope in novelty. Or maybe my imagination has become limited. I cannot think of anything new to enhance or bring novelty in my topic, nor can i change my topic now since I've invested so much time here. Can anyone please suggest a novel idea or technique who have already worked on object detection, please? Thanks!
All Answers (2 Answers In All)
By Roma Answered 4 years ago
It is also possible that the focus statement of the previous literature studies help you in identifying the literature gap considering whether they have used simple binary or regressive decisions to get the results. It’s better to check some review papers or meta analysis conducted on your research topic for getting the answers faster.Â
I hope it works out for you, but if it doesn’t I would suggest you move to another topic because it’s okay to switch in situations like these, then sticking to it and taking the same decision later. Good luck.
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By Trisha Answered 4 years ago
I attended a webinar conducted by the experts of Five Vidya recently and the expert seemed well-informed about the research conduct and topics. So, in case you need consultancy you can contact them too (I don’t know about the charges, you can ask them after discussing your requirements, I guess).
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